{"id":"W2902078840","doi":"10.1128/jcm.01338-18","title":"A Novel Sensitive Immunoassay Targeting the 5-Methylthio- <scp>d</scp> -Xylofuranose–Lipoarabinomannan Epitope Meets the WHO's Performance Target for Tuberculosis Diagnosis","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"ImmunoPrecise (Canada); Alberta Glycomics Centre; University of Alberta","funders":"National Institutes of Health; Ministerie van Buitenlandse Zaken; Global Health Innovative Technology Fund; Alberta Glycomics Centre; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation","keywords":"Lipoarabinomannan; Epitope; Mycobacterium tuberculosis; Tuberculosis; Immunoassay; Medicine; Sputum; Antibody; Antigen; Urine; Virology; Immunology; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001660571,0.0009835009,0.0006661494,0.0009312779,0.0002969056,0.0006792027,0.001151471,0.001599876,0.001553618],"category_scores_gemma":[0.00153509,0.0003059299,0.0004877079,0.0004108787,0.0005853795,0.0007572774,0.0005299157,0.001350117,0.0009826383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005053231,"about_ca_system_score_gemma":0.0005042319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00057059,"about_ca_topic_score_gemma":0.001129122,"domain_scores_codex":[0.9981694,0.0006624695,0.00008309331,0.0003626838,0.0005654967,0.0001568703],"domain_scores_gemma":[0.9991059,0.0003174086,0.0001962859,0.0000793507,0.00017633,0.0001248243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001639812,0.0001324256,0.001743797,0.0001224092,0.00002523282,0.00009453835,0.00002357322,0.0001492503,0.9808035,0.0002071438,0.0002870063,0.01624703],"study_design_scores_gemma":[0.00009461006,0.002949654,0.00987924,0.00004226191,0.0001062247,0.003844906,0.00009245527,0.01291073,0.9611336,0.000321002,0.008549104,0.00007617648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5051927,0.008760126,0.4714785,0.001085798,0.0007100166,0.0008393788,0.001265725,0.002479464,0.00818818],"genre_scores_gemma":[0.7236399,0.001596481,0.2683365,0.0006204805,0.0002085384,0.0002761642,0.001071627,0.00004188093,0.004208518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001660571,"threshold_uncertainty_score":0.008782029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04972153259967607,"score_gpt":0.3749028503457262,"score_spread":0.3251813177460501,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}